Equibiaxial and uniaxial cyclic strain similarly affect Notch signaling and vascular smooth muscle cell phenotype in 2D.

IF 1.5 4区 生物学 Q4 CELL BIOLOGY
Cansu Karakaya, Mark van Turnhout, Eva A N van den Hurk, Carlijn V C Bouten, Cecilia M Sahlgren, Sandra Loerakker
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引用次数: 0

Abstract

Vascular smooth muscle cells (VSMCs) play a crucial role in vascular growth and remodeling by adapting their phenotype in response to biomechanical cues. The Notch signaling pathway, known for its sensitivity to mechanical forces, is a regulator of strain-induced phenotypic plasticity of VSMCs. However, the impact of the intricate mechanical environment within the vessel wall on Notch signaling and VSMCs is not completely elucidated. In this study, we investigated the influence of strain anisotropy, which is important for understanding (patho)physiological mechanical conditions, on mechanosensitive Notch signaling and subsequent changes in VSMC phenotype. Using varying amplitudes of cyclic strain in the physiological range, we examined the effects of equibiaxial and uniaxial strain on Notch signaling and phenotypic transitions in synthetic and contractile VSMCs. Additionally, we compared cell responses between equibiaxial and uniaxial loading conditions by analyzing three different deformation characteristics to determine the primary strain measure governing Notch signaling and VSMC phenotype. Our findings reveal that both cyclic equibiaxial and uniaxial strain downregulate Notch signaling and contractile characteristics of VSMCs. Notably, these reductions are most similar for both loading conditions when the maximum principal strain values were compared. Overall, our results suggest that VSMCs respond in a comparable manner to equibiaxial and uniaxial strain, indicating that strain anisotropy may not significantly influence Notch signaling or phenotypic switching of VSMCs. Insight Box:  Vascular smooth muscle cells (VSMCs) adapt their phenotype during vascular growth and remodeling in response to mechanical cues. The Notch signaling pathway, sensitive to mechanical stimuli, regulates this phenotypic plasticity. However, the effect of strain anisotropy, which is important for understanding (patho)physiological mechanical conditions, on Notch signaling and subsequent changes in VSMC phenotype is not clear. Understanding this relationship is crucial to determine how VSMC phenotype, contributing to vascular growth and remodeling, is regulated in physiological and pathological hemodynamic environments. Here, we showed that both equibiaxial and uniaxial strain downregulate Notch signaling components and the contractile properties of VSMCs. Our findings further highlighted the maximum principal strain as the dominant mechanical parameter influencing Notch signaling and VSMC phenotypic changes.

等双轴和单轴循环应变同样影响Notch信号和血管平滑肌细胞的2D表型。
血管平滑肌细胞(VSMCs)在血管生长和重塑中起着至关重要的作用,通过改变其表型来响应生物力学线索。Notch信号通路以其对机械力的敏感性而闻名,是菌株诱导的vsmc表型可塑性的调节剂。然而,血管壁内复杂的机械环境对Notch信号和VSMCs的影响尚未完全阐明。在这项研究中,我们研究了应变各向异性对机械敏感的Notch信号和VSMC表型随后变化的影响,应变各向异性对理解(病理)生理力学条件很重要。利用生理范围内不同的循环应变振幅,我们研究了等双轴和单轴应变对合成和收缩vsmc中Notch信号传导和表型转变的影响。此外,我们通过分析三种不同的变形特征,比较了等双轴和单轴加载条件下的细胞响应,以确定控制Notch信号和VSMC表型的主要应变测量。我们的研究结果表明,循环等双轴和单轴应变均下调了VSMCs的Notch信号和收缩特性。值得注意的是,当比较最大主应变值时,两种加载条件下的这些减少是最相似的。总的来说,我们的研究结果表明,VSMCs对等双轴和单轴应变的响应方式相当,这表明应变的各向异性可能不会显著影响VSMCs的Notch信号传导或表型转换。血管平滑肌细胞(VSMCs)在血管生长和重塑过程中适应其表型,以响应机械提示。对机械刺激敏感的Notch信号通路调节了这种表型可塑性。然而,对于理解(病理)生理力学条件很重要的应变各向异性对Notch信号传导和VSMC表型的后续变化的影响尚不清楚。了解这种关系对于确定VSMC表型如何在生理和病理血流动力学环境中调节血管生长和重塑至关重要。在这里,我们发现等双轴和单轴应变都下调了Notch信号成分和VSMCs的收缩特性。我们的研究结果进一步强调了最大主应变是影响Notch信号和VSMC表型变化的主要机械参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Integrative Biology
Integrative Biology 生物-细胞生物学
CiteScore
4.90
自引率
0.00%
发文量
15
审稿时长
1 months
期刊介绍: Integrative Biology publishes original biological research based on innovative experimental and theoretical methodologies that answer biological questions. The journal is multi- and inter-disciplinary, calling upon expertise and technologies from the physical sciences, engineering, computation, imaging, and mathematics to address critical questions in biological systems. Research using experimental or computational quantitative technologies to characterise biological systems at the molecular, cellular, tissue and population levels is welcomed. Of particular interest are submissions contributing to quantitative understanding of how component properties at one level in the dimensional scale (nano to micro) determine system behaviour at a higher level of complexity. Studies of synthetic systems, whether used to elucidate fundamental principles of biological function or as the basis for novel applications are also of interest.
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